{"title":"The crucial role of linearity when comparing effects across studies","authors":"Herbert Bless, Michaela Wänke","doi":"10.1038/s44159-023-00220-w","DOIUrl":null,"url":null,"abstract":"Comparing effect sizes between studies is critical for evaluating empirical evidence and gaining a broader understanding of underlying phenomena. However, many effects in psychology are nonlinear, which causes problems for interpreting such comparisons and meta-analyses.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"2 9","pages":"516-517"},"PeriodicalIF":16.8000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature reviews psychology","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44159-023-00220-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Comparing effect sizes between studies is critical for evaluating empirical evidence and gaining a broader understanding of underlying phenomena. However, many effects in psychology are nonlinear, which causes problems for interpreting such comparisons and meta-analyses.
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